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Kinect (Kinect) turns every e-commerce store into an AI-powered storefront that actually sells. As customers shop, online shopping assistants leverage what each customer is looking for in the moment, adapts to every visitor in real time, captures buying intent data they’ve never had before. Congrats on the launch, Kratik... show more

Y Combinator

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94,080 görüntüleme • 3 ay önce •via X (Twitter)

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If you run an online store or a service site, every visitor who leaves without buying is money you never get back I spent the week testing , an AI sales agent that actually sells for you while you sleep Honest review below 🧵

If you run an online store or a service site, every visitor who leaves without buying is money you never get back I spent the week testing , an AI sales agent that actually sells for you while you sleep Honest review below 🧵

Nawi

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WorkDone (ManyImpala) is an AI compliance copilot for documentation in clinics and hospitals. In real time, it prevents documentation errors that cause 250 million insurance claim denials every year—before they happen. Congrats on the launch, Dmitry Karpov, Sergey Yudovskiy, and @alekseyodin!

WorkDone (ManyImpala) is an AI compliance copilot for documentation in clinics and hospitals. In real time, it prevents documentation errors that cause 250 million insurance claim denials every year—before they happen. Congrats on the launch, Dmitry Karpov, Sergey Yudovskiy, and @alekseyodin!

Y Combinator

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He walked into a small shop and made it visible to the entire planet. One afternoon. 170 scans. A free app on his phone. He gets $400 for the scan. $99 every month for hosting. The result: a full 3D virtual tour anyone can walk through in a browser. Every shelf. Every product. Every detail of a store that most people would never find on a map. The owner gets more online visitors in a week than she got in-store visitors in a month. That gap is the business. Month one: $3,500. Month six: $18,000. The same model works for hotels, real estate listings, event venues, car dealerships, museums. Every physical space in every city is an untapped asset. Most owners have no idea this exists. He didn't wait for the right client. He walked into a shop and made one.

He walked into a small shop and made it visible to the entire planet. One afternoon. 170 scans. A free app on his phone. He gets $400 for the scan. $99 every month for hosting. The result: a full 3D virtual tour anyone can walk through in a browser. Every shelf. Every product. Every detail of a store that most people would never find on a map. The owner gets more online visitors in a week than she got in-store visitors in a month. That gap is the business. Month one: $3,500. Month six: $18,000. The same model works for hotels, real estate listings, event venues, car dealerships, museums. Every physical space in every city is an untapped asset. Most owners have no idea this exists. He didn't wait for the right client. He walked into a shop and made one.

Superior

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Today, we’re excited to launch Proactive Agents, a new standard for the AI concierge. This is a major step forward in helping businesses move beyond reactive support to building customer relationships that grow stronger over time. Here’s what’s new: 🧠 User Memory: Deliver personalized experiences to every customer. 📞 Outbound Voice: Build stronger relationships with proactive engagement. 🛠️ Agent Workbench: Debug agent workflows faster with an AI assistant. Throughout this week, we’ll be diving deeper into each of these features and how our customers are using them to deliver concierge experiences. Learn more about the full launch in the thread.

Today, we’re excited to launch Proactive Agents, a new standard for the AI concierge. This is a major step forward in helping businesses move beyond reactive support to building customer relationships that grow stronger over time. Here’s what’s new: 🧠 User Memory: Deliver personalized experiences to every customer. 📞 Outbound Voice: Build stronger relationships with proactive engagement. 🛠️ Agent Workbench: Debug agent workflows faster with an AI assistant. Throughout this week, we’ll be diving deeper into each of these features and how our customers are using them to deliver concierge experiences. Learn more about the full launch in the thread.

Decagon

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🚀 HypotomuAI Dapp is LIVE! 🐟💻 The Dapp is now officially live on: 👉 From concept to reality — HypotomuAI is now fully operational. The system analyzes market data, adapts its strategy in real time, and evolves with every trade. We don’t just talk AI — we built one that actually trades. Welcome to the era of autonomous AI trading.🌊 #HypotomuAI #AITrading #AsterDEX #HYPOTOMU #BNBChain

🚀 HypotomuAI Dapp is LIVE! 🐟💻 The Dapp is now officially live on: 👉 From concept to reality — HypotomuAI is now fully operational. The system analyzes market data, adapts its strategy in real time, and evolves with every trade. We don’t just talk AI — we built one that actually trades. Welcome to the era of autonomous AI trading.🌊 #HypotomuAI #AITrading #AsterDEX #HYPOTOMU #BNBChain

HypotomuAI

39,446 görüntüleme • 9 ay önce

Unlike Microsoft Copilot, Salesforce Agentforce’s Large Action Models (LAMs) leverage both structured and unstructured data across Salesforce’s secure, scalable ecosystem—Data Cloud, Customer 360, Tableau, Flow, & Slack—to drive real-time, intelligent, autonomous actions. It’s not just automation; it’s AI agents acting with precision, context, accuracy, and compliance, turning routine tasks into autonomous, value-driven actions. Agentforce enables teams to focus on strategy while Autonomous Agents handles the customer and employee workloads, all within a trusted framework that adapts and learns. This is the future of work, powered by Salesforce. This is what AI was meant to be. #Agentforce

Unlike Microsoft Copilot, Salesforce Agentforce’s Large Action Models (LAMs) leverage both structured and unstructured data across Salesforce’s secure, scalable ecosystem—Data Cloud, Customer 360, Tableau, Flow, & Slack—to drive real-time, intelligent, autonomous actions. It’s not just automation; it’s AI agents acting with precision, context, accuracy, and compliance, turning routine tasks into autonomous, value-driven actions. Agentforce enables teams to focus on strategy while Autonomous Agents handles the customer and employee workloads, all within a trusted framework that adapts and learns. This is the future of work, powered by Salesforce. This is what AI was meant to be. #Agentforce

Marc Benioff

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Jensen Huang says computing is no longer pre-recorded or pre-compiled. Traditional software like Excel ran the same for everyone now AI adapts to each user and moment. Every sound, pixel, and output is generated in real time based on context. This requires massively more compute, as software now thinks before it responds. It marks a fundamental shift: software isn’t static—it’s alive and reactive.

Jensen Huang says computing is no longer pre-recorded or pre-compiled. Traditional software like Excel ran the same for everyone now AI adapts to each user and moment. Every sound, pixel, and output is generated in real time based on context. This requires massively more compute, as software now thinks before it responds. It marks a fundamental shift: software isn’t static—it’s alive and reactive.

Wes Roth

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Understanding your customers shouldn’t take weeks. Most teams rely on surveys or a handful of calls— but that barely scratches the surface. Frank AI Researcher is changing that. It runs real customer interviews (video, voice, chat), asks follow-up questions in real time, and turns conversations into clear insights—overnight. Not guesswork. Not surface-level data. Actual understanding. This is what modern user research looks like 👇

Understanding your customers shouldn’t take weeks. Most teams rely on surveys or a handful of calls— but that barely scratches the surface. Frank AI Researcher is changing that. It runs real customer interviews (video, voice, chat), asks follow-up questions in real time, and turns conversations into clear insights—overnight. Not guesswork. Not surface-level data. Actual understanding. This is what modern user research looks like 👇

NAYAK

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The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

Raoul Pal

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Ever notice it’s hard to get great answers on shopping journey questions? And, to get good answers where they’re deeply integrated into a shopping experience you love and trust? Buying guidance like: “what is important to consider when buying headphones?” Shopping missions like: “what do I need for playing cold weather golf?” Comparison questions like: “what’s the difference between trail and running road shoes?” Recommendation questions like: “what are the best Valentine’s Day gifts?” Questions on specific products like: “is this pickleball racquet good for beginners?” All of these types of questions (and much more) can be answered in our new generative AI-powered shopping assistant, Rufus. Rufus is built on a large language model that’s trained on our expansive product catalog, customer reviews, community Q+As, and the broader web—and is seamlessly integrated with Amazon to make it easy to take action in the shopping experience so many customers love and trust. Rufus launches in beta today in our mobile app to a small subset of U.S. customers, and will roll out to all U.S. customers in our mobile app in waves over the coming weeks. It’s an exciting next step in the Amazon shopping experience and I look forward to seeing how it helps customers make better, more informed, shopping decisions. Here’s a first look.

Ever notice it’s hard to get great answers on shopping journey questions? And, to get good answers where they’re deeply integrated into a shopping experience you love and trust? Buying guidance like: “what is important to consider when buying headphones?” Shopping missions like: “what do I need for playing cold weather golf?” Comparison questions like: “what’s the difference between trail and running road shoes?” Recommendation questions like: “what are the best Valentine’s Day gifts?” Questions on specific products like: “is this pickleball racquet good for beginners?” All of these types of questions (and much more) can be answered in our new generative AI-powered shopping assistant, Rufus. Rufus is built on a large language model that’s trained on our expansive product catalog, customer reviews, community Q+As, and the broader web—and is seamlessly integrated with Amazon to make it easy to take action in the shopping experience so many customers love and trust. Rufus launches in beta today in our mobile app to a small subset of U.S. customers, and will roll out to all U.S. customers in our mobile app in waves over the coming weeks. It’s an exciting next step in the Amazon shopping experience and I look forward to seeing how it helps customers make better, more informed, shopping decisions. Here’s a first look.

Andy Jassy

179,479 görüntüleme • 2 yıl önce

Affordability is driving more of the car buying decision than ever before. Michael Byrd, Chief Revenue Officer of informativ., explains why early payment estimates often fall short without real customer data. “Every consumer will come through, they’ll get the same rate… but that first pencil is based on what the consumer’s telling us. A lot of that information, the first pencil is based on what the consumer’s telling us. It's not actually on credit data or real data that we will find out as the sales process progresses.” Daily Dealer live hosted by Sam D'Arc — listen to the full episode here: - Thank you to our partner informativ.! Check them out by visiting:

Affordability is driving more of the car buying decision than ever before. Michael Byrd, Chief Revenue Officer of informativ., explains why early payment estimates often fall short without real customer data. “Every consumer will come through, they’ll get the same rate… but that first pencil is based on what the consumer’s telling us. A lot of that information, the first pencil is based on what the consumer’s telling us. It's not actually on credit data or real data that we will find out as the sales process progresses.” Daily Dealer live hosted by Sam D'Arc — listen to the full episode here: - Thank you to our partner informativ.! Check them out by visiting:

Car Dealership Guy

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Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy

55,060 görüntüleme • 1 ay önce

🚨 NVIDIA CEO, Jensen Huang on who actually gets hired today: “If I were to hire a new college graduate today, and I have a choice between two, one that has no clue what AI is, and one that is an expert in using AI, I would hire the one who’s an expert in using AI. I would hire the one who’s an expert in using AI for lawyers, accountants, marketing person, supply chain, customer service, business developer, salespersons”. “I would advise that every college student, every teacher should encourage their students to go use AI. Every college student should graduate and be an expert in AI”. AI skills are no longer a bonus, they’re expected.

🚨 NVIDIA CEO, Jensen Huang on who actually gets hired today: “If I were to hire a new college graduate today, and I have a choice between two, one that has no clue what AI is, and one that is an expert in using AI, I would hire the one who’s an expert in using AI. I would hire the one who’s an expert in using AI for lawyers, accountants, marketing person, supply chain, customer service, business developer, salespersons”. “I would advise that every college student, every teacher should encourage their students to go use AI. Every college student should graduate and be an expert in AI”. AI skills are no longer a bonus, they’re expected.

CG

22,850 görüntüleme • 4 ay önce

Anthropic pays $785K/year for Forward Deployed Engineers In this 20-minute talk, an Anthropic FDE engineer explained the full roadmap: • step 1 → you're not selling software or time. you're selling an outcome. "a leader in oil and gas cares about throughput, not how the data is organized" • step 2 → FDE exists for one case only: technical product + non-technical buyer. everything else runs on DevRel or sales • step 3 → every AI platform is now agentic & customizable - every AI company is in that case now. "your customers have no idea what you actually do" • step 4 → the result: Palantir's ACV is $4M per customer. ServiceNow $1.2M. Workday $600K. no other public SaaS cracks $500K watch, then read the guide below ↓

Anthropic pays $785K/year for Forward Deployed Engineers In this 20-minute talk, an Anthropic FDE engineer explained the full roadmap: • step 1 → you're not selling software or time. you're selling an outcome. "a leader in oil and gas cares about throughput, not how the data is organized" • step 2 → FDE exists for one case only: technical product + non-technical buyer. everything else runs on DevRel or sales • step 3 → every AI platform is now agentic & customizable - every AI company is in that case now. "your customers have no idea what you actually do" • step 4 → the result: Palantir's ACV is $4M per customer. ServiceNow $1.2M. Workday $600K. no other public SaaS cracks $500K watch, then read the guide below ↓

Codez

166,342 görüntüleme • 21 gün önce

Introducing Vaani – Your Meesho Dost, India’s first Gen AI-powered conversational voice shopping assistant, designed for the next 500 million users who inherently shop this way. Most e-commerce is built for digitally savvy users who know what they want and how to find it. A large part of India doesn’t shop that way. Shopping here has always been assisted. You walk into a store, describe what you need, ask questions and decide with guidance. That’s what we built for. Vaani brings this offline experience online. It understands natural, real-world queries, asks follow-up questions to clarify intent, and works seamlessly across the app to help users discover, decide and purchase. Early signals are encouraging. Over 1.5 million users have interacted with Vaani, with strong repeat usage indicating early habit formation and a 22% higher conversion rate among users who engage with the assistant. When technology understands you, shopping becomes simpler. When it guides you, confidence grows. And with that confidence, millions more people can participate in commerce. #Meesho #VoiceCommerce #DigitalIndia

Introducing Vaani – Your Meesho Dost, India’s first Gen AI-powered conversational voice shopping assistant, designed for the next 500 million users who inherently shop this way. Most e-commerce is built for digitally savvy users who know what they want and how to find it. A large part of India doesn’t shop that way. Shopping here has always been assisted. You walk into a store, describe what you need, ask questions and decide with guidance. That’s what we built for. Vaani brings this offline experience online. It understands natural, real-world queries, asks follow-up questions to clarify intent, and works seamlessly across the app to help users discover, decide and purchase. Early signals are encouraging. Over 1.5 million users have interacted with Vaani, with strong repeat usage indicating early habit formation and a 22% higher conversion rate among users who engage with the assistant. When technology understands you, shopping becomes simpler. When it guides you, confidence grows. And with that confidence, millions more people can participate in commerce. #Meesho #VoiceCommerce #DigitalIndia

Vidit Aatrey

45,637 görüntüleme • 4 ay önce

If you run an independent store, here's a question worth asking — how many orders are you losing every single day? In Episode 2 of our series (2/3), we show you how to build and deploy an AI customer support Agent for cross-border e-commerce with EdgeOne Makers. 💡 What you'll see: • Real case: Tencent Cloud Kiki — 2,000 users on day one, deployed with one sentence • End-to-end demo: Add an AI customer Agent to your store • No rewrite — integrate Agent capabilities without changing your existing architecture Check the comments for event perks — join now and get up to 50M Tokens!

If you run an independent store, here's a question worth asking — how many orders are you losing every single day? In Episode 2 of our series (2/3), we show you how to build and deploy an AI customer support Agent for cross-border e-commerce with EdgeOne Makers. 💡 What you'll see: • Real case: Tencent Cloud Kiki — 2,000 users on day one, deployed with one sentence • End-to-end demo: Add an AI customer Agent to your store • No rewrite — integrate Agent capabilities without changing your existing architecture Check the comments for event perks — join now and get up to 50M Tokens!

Tencent EdgeOne

1,604,490 görüntüleme • 1 ay önce

Today we’re launching markopolo.ai an AI that creates deeply personalized campaigns that run themselves. Convert 30-40% of warm leads vs. the industry standard of 10-15%. People don’t abandon because they don’t want the product. They abandon because the follow-up is generic, late, or in the wrong channel/language. So me, Rubaiyat and our team has built an engine that automatically repairs the leak. Our platform reads each visitor's behavioral signals and generates individual follow-ups across email, SMS, and voice, automatically. No generic workflows. No A/B testing. Just LLM-powered campaigns that understand your customers intent and adapt in real-time. Here’s how modern brands use Markopolo to recover millions in lost intent: 1. Reads real shopper behavior in real time Hesitations, comparisons, timing, language preference, a full behavioral fingerprint for every visitor. 2. Creates unique 1:1 journeys instantly Email → SMS → WhatsApp → AI Voice — whatever that specific shopper responds to. No flows. No templates. 3. Follows up in the right tone, language & moment If a shopper buys in Hindi and researches in English, Markopolo adjusts. If they only respond at 7 PM on WhatsApp, it adapts. 4. Fully autonomous campaigns No workflow builders. No segmentation maintenance. Just automated, deeply personal conversations that bring people back. The result? 30–40% recovery consistently. If markopolo.ai doesn’t beat your current recovery rate within 60 days, we’ll refund you.

Today we’re launching markopolo.ai an AI that creates deeply personalized campaigns that run themselves. Convert 30-40% of warm leads vs. the industry standard of 10-15%. People don’t abandon because they don’t want the product. They abandon because the follow-up is generic, late, or in the wrong channel/language. So me, Rubaiyat and our team has built an engine that automatically repairs the leak. Our platform reads each visitor's behavioral signals and generates individual follow-ups across email, SMS, and voice, automatically. No generic workflows. No A/B testing. Just LLM-powered campaigns that understand your customers intent and adapt in real-time. Here’s how modern brands use Markopolo to recover millions in lost intent: 1. Reads real shopper behavior in real time Hesitations, comparisons, timing, language preference, a full behavioral fingerprint for every visitor. 2. Creates unique 1:1 journeys instantly Email → SMS → WhatsApp → AI Voice — whatever that specific shopper responds to. No flows. No templates. 3. Follows up in the right tone, language & moment If a shopper buys in Hindi and researches in English, Markopolo adjusts. If they only respond at 7 PM on WhatsApp, it adapts. 4. Fully autonomous campaigns No workflow builders. No segmentation maintenance. Just automated, deeply personal conversations that bring people back. The result? 30–40% recovery consistently. If markopolo.ai doesn’t beat your current recovery rate within 60 days, we’ll refund you.

Tasbin

97,542 görüntüleme • 9 ay önce

every question in this clip is an ownership question, especially data because when everyone has access to the same intelligence, the only input that separates your business from the next one is the data you own your data is decades of decisions, customers, mistakes, and edge cases that exist nowhere else on earth that is the moat and enterprises are waking up to the fact that they've been leaking it one api call at a time my prediction is this: data ownership is going to absolutely matter in the world we're going into and whoever's building the infrastructure for it is going to have a very good decade.

every question in this clip is an ownership question, especially data because when everyone has access to the same intelligence, the only input that separates your business from the next one is the data you own your data is decades of decisions, customers, mistakes, and edge cases that exist nowhere else on earth that is the moat and enterprises are waking up to the fact that they've been leaking it one api call at a time my prediction is this: data ownership is going to absolutely matter in the world we're going into and whoever's building the infrastructure for it is going to have a very good decade.

Adeniyi.sui

13,805 görüntüleme • 1 ay önce